1.0AXO Trackhttps://axotrack.de/en/birgerhttps://axotrack.de/en/author/birger/rich600338<blockquote class="wp-embedded-content" data-secret="SSvjdjN2AI"><a href="https://axotrack.de/en/glossary/predictive-maintenance/">Predictive Maintenance</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://axotrack.de/en/glossary/predictive-maintenance/embed/#?secret=SSvjdjN2AI" width="600" height="338" title="“Predictive Maintenance” — AXO Track" data-secret="SSvjdjN2AI" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script> /*! This file is auto-generated */ !function(d,l){"use strict";l.querySelector&&d.addEventListener&&"undefined"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!/[^a-zA-Z0-9]/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret="'+t.secret+'"]'),o=l.querySelectorAll('blockquote[data-secret="'+t.secret+'"]'),c=new RegExp("^https?:$","i"),i=0;i<o.length;i++)o[i].style.display="none";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute("style"),"height"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):"link"===t.message&&(r=new URL(s.getAttribute("src")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener("message",d.wp.receiveEmbedMessage,!1),l.addEventListener("DOMContentLoaded",function(){for(var e,t,s=l.querySelectorAll("iframe.wp-embedded-content"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute("data-secret"))||(t=Math.random().toString(36).substring(2,12),e.src+="#?secret="+t,e.setAttribute("data-secret",t)),e.contentWindow.postMessage({message:"ready",secret:t},"*")},!1)))}(window,document); //# sourceURL=https://axotrack.de/wp-includes/js/wp-embed.min.js </script> Predictive Maintenance (PdM) is a proactive maintenance strategy used in the railway industry to predict equipment failures before they occur, minimizing the risk of unexpected downtime and reducing maintenance costs. By using data analytics and machine learning algorithms, PdM can analyze data from sensors and other sources to detect early signs of equipment failure and […]